Senior AI Scientist

Harnham is partnering with a well-funded biotech startup that is developing an AI-driven approach to more personalized cancer monitoring—integrating proprietary methods, diverse datasets, and evolving diagnostic capabilities to support ongoing care for individuals with elevated risk. The team brings experience across genomics and health data modeling, applying these foundations toward new screening and recommendation approaches, with a focus on translating research into practical clinical applications.

• Research Strategy & State of the Art – Stay current with advances in AI, genomics, and oncology, identifying high-impact opportunities and shaping the research roadmap.
• Model Development – Design, train, and evaluate ML models for biomarker detection, risk stratification, longitudinal monitoring, and decision-support systems for screening and survivorship.
• Publications & Scientific Communication – Contribute to peer-reviewed publications, conference papers, and technical reports; engage with academic and research communities.
• Research to Production – Collaborate with engineering teams to bring research into production, including adapting foundation models and integrating multi-modal approaches into clinical workflows.
• Evaluation & Rigor – Develop robust experimental frameworks and validation protocols to ensure scientific integrity and clinical reliability.
• Collaboration – Work cross-functionally with clinicians, researchers, product managers, and engineers to align research initiatives with clinical and product priorities.

• PhD in machine learning, computational biology, bioinformatics, or a related field
• Strong publication record in applied AI and/or AI in healthcare or biology
• Hands-on experience building and evaluating ML models; proficiency in Python and frameworks like PyTorch, JAX, or Tensor Flow
• Familiarity with cloud-based accelerators (GPU/TPU) and modern ML pipelines
• Solid software engineering practices (version control, testing, code review)
• Clear scientific communication skills across technical and clinical audiences
• Experience with biomedical data (e.g., genomics, pathology, EHRs)
• Track record of translating research into real-world impact
• Startup or entrepreneurial experience, especially building systems from zero to one

The compensation package contains a base salary, bonus, equity and a comprehensive benefits package.

Please register your interest by sending your CV via the Apply link on this page.

Artificial Intelligence | AI | Deep Learning | Machine Learning | ML Scientist | Research | Applied Research | Production | Real Time | Cancer Detection | Statistics | Reinforcement Learning | Foundation Modeling | Foundational Models | Anomaly Detection | Publications | Biotech | Health-tech | Genomics | Oncology | Pathology | EHR | Electronic Health Records | GPU | TPU | Startup